With the coming shift away from volume-based reimbursement, population health management has emerged as a leading model to ensure quality care at lower costs. But implementation is complex, requiring population definition, data from across the care continuum, and strategies to address gaps. This report tackles that complexity, revealing how better collaboration and mastery of data analytics is helping providers build a successful integrated and collaborative network for population health management.

In this in-depth report, gain insights into key strategies and spending plans, such as the following:

What investments are organizations making over the next three years in pursuit of population health?

How are Geisinger and xG Health Solutions managing the pace of population health implementation with strength in IT and data analytics, while addressing financial unknowns?

How do data analytics drive population health management and what are the top data-related challenges for healthcare organizations?

How is Lancaster General Health using its involvement with an ACO to gain hands-on experience in areas that will be important for population health management?

Which new skills has the Jefferson School of Population Health identified as necessary for physician executives, IT, finance, and clinician?

Which key variables will help providers determine the appropriate pace and scale for your shift toward population health management?

How are providers building relationships across the care continuum to align with population health objectives in a shared-risk environment?

This month’s report includes:

Case studies from Geisinger Health System, Lancaster General Health, and the Jefferson School of Population Health

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